基于MODIS数据的2001—2018年中国耕地复种指数反演研究

耕地复种指数的持续稳定关乎国家粮食安全战略,实时高效地获取复种指数时空演变的详细过程信息具有重要意义。论文基于2001—2018年500 m分辨率的MODIS09A1影像数据,利用小波谱顶点的快速自动检测方法获取了全国复种指数的时空分布图,并采用Mann-Kendall检验、启发式分割算法等方法开展了全国复种指数变化形式的时空演变规律及驱动机制研究。结果表明：全国耕地复种指数稳中有升,复种指数均值从2001年的1.14上升至2018年的1.30。全国6%的耕地面积复种指数发生显著变化(约13.5万km²),相当于一个安徽省的面积。复种指数增加面积约占变化面积的2/3,复种指数下降面积约占变化面积的1/3。其中,复种指数增加的面积主要来源于黄土高原区、甘新区的休耕转为单季以及黄淮海区单季转双季,且集中在2004—2013年。2013年至今,全国复种指数仍呈增加趋势,黄淮海区单季转双季的面积保持持续增加是重要的影响因素。复种指数下降的面积主要来源于2009—2013年长江中下游平原区的双季转单季。保持黄土高原区、甘新区的耕地有效种植面积以及黄淮区耕地的双季种植面积,适当抑制长江中下游地区耕地复种指数的下降态势,对于稳定耕地复种指数、确保粮食安全具有重要意义。     

农业干旱业务化监测研究进展与展望

业务化农业干旱监测系统是农业干旱监测和预测以及农业风险评价和防范的有力工具,为了更好地促进农业干旱业务化监测的发展,系统回顾了基于气象变量、土壤湿度、植被状态和多变量等4类常用干旱指数,详细分析了美国、中国、欧洲和联合国粮食及农业组织等业务化农业干旱监测系统的特征,讨论了业务化农业干旱监测系统中存在的问题：如数据的质量及融合不稳定、综合干旱指数的构建不确定、监测的时间分辨率有待提高、缺乏考虑水文条件以及作物的生长过程等影响的问题。展望了未来农业干旱业务化监测,应从利用多源数据监测干旱、构建综合指标时需考虑区域时空差异及不同指标间的累积性和滞后性、加强机器及深度学习在综合指标构建中的作用、发展日时间尺度监测干旱以应对骤旱事件的发生、强化作物生长过程模型和先进的技术手段在干旱监测中的作用等方面深入发展。     

Incorporating spatial interaction patterns in classifying and understanding urban land use

Land use classification has benefited from the emerging big data, such as mobile phone records and taxi trajectories. Temporal activity variations derived from these data have been used to interpret and understand the land use of parcels from the perspective of social functions, complementing the outcome of traditional remote sensing methods. However, spatial interaction patterns between parcels, which could depict land uses from a perspective of connections, have rarely been examined and analysed. To leverage spatial interaction information contained in the above-mentioned massive data sets, we propose a novel unsupervised land use classification method with a new type of place signature. Based on the observation that spatial interaction patterns between places of two specific land uses are similar, the new place signature improves land use classification by trading off between aggregated temporal activity variations and detailed spatial interactions among places. The method is validated with a case study using taxi trip data from Shanghai.     

Field application of freezing technology for social infrastructures

There are numerous methods to prevent seepage flow and ground improvement methodologies such as cement grouting, sheet piling, and the membrane method. In this paper, we present case histories of freezing technology applications in the construction of a deep tunnel sewerage system, undersea highway tunnel, and liquefied natural gas tank. Heaving pressure measurements for various soil types around a liquefied natural tank are compared with existing data. In this paper, we present temperature variations at the bottom and side of a liquefied natural gas tank. Our findings show that ground-freezing technology is very effective in controlling ground water infiltration into underground structures as well providing soil reinforcement in the soft ground.     

中国区域气候模式对1991年江淮流域特大暴雨过程的模拟

文章引进了美国NCAR的区域气候模式,并对该模式进行了改造和改进,建立了能适合中国区域性气候特征,模拟中国区域性气候的模式。在此基础上运用该模式对1991年夏季长江流域强降水过程进行了模拟计算,结果表明,该模式具有模拟长江流域强降水过程的能力。     

地面智能观测显示与监控综合处理系统

随着观测业务的逐渐智能化,大量新设备和新业务不断增加,从而造成观测数据显示和设备状态监控越来越复杂、凌乱,维护成本不断提高。提出并实现了地面智能观测站实时显示与监控系统,该系统采用Dundas、Grid、3ds MAX建模、系统拓扑结构图等多种直观、形象、智能的方式将所有观测数据显示和设备状态监控功能集约在一个平台上,便于工作人员管理和维护。在观测站的试运行中,极大的提高了整个观测站的业务效率,降低了观测人员的工作量。     

Evaluation on the accuracy of digital elevation models

1 IntroductionDigital elevation model (DEM) is digital representation of relief. It is one of the most important components in the database of GIS. At present, DEM is playing a key role in the field of survey and mapping, remote sensing and almost all the terrain related geographical analyses. DEM can be grouped into regular grids (raster) and triangulated irregular networks (TIN). Both have their advantages and disadvantages in application. It is generally believed that grid DEM will …     

预审单轨自动站地面气象记录月报表的方法

预审员对气象记录月报表进行预审,是报表出站前的最后一道关口,对提高气象资料的准确性有着重要的意义。     

Effects of vegetation cover on summer climate in China during 1982–2001

In this paper, we apply lagged correlation analysis to study the effects of vegetation cover on the summer climate in different zones of China, using NOAA/AVHRR normalized difference vegetation index (NDVI) data during the time period from 1982 to 2001 and climate data of 365 meteorological stations across China (precipitation from 1982 to 2001 and temperature from 1982 to 1998). The results show that there are positive correlations between spring NDVI and summer climate (temperature and precipitation) in most zones of China; these suggest that, when the vegetation cover increases, the summer precipitation will increase, and the lagged correlations show a significant difference between zones. The stronger correlations between NDVI in previous season and summer climate occur in three zones (Mid-temperate zone, Warm-temperate zone and Plateau climate zone), and this implies that vegetation changes have more sensitive feedback effects on climate in the three zones in China. Supported by the National 973 Program of China (No.2006CB701300), the National Natural Science Foundation of China (No.40721001), the Sino-Germany Joint Project (No. 2006DFB91920), the Open Fund of Shanghai Leading Academic Discipline Project (T0102) and the Open Fund of LIESMARS, Wuhan University.     

坚持科教兴测绘大力推动科技进步

测绘科技人才培养是事关测绘事业发展的重大问题,本文介绍江苏省测绘局在测绘科技人培养作继续教育方面采取的举措。